Journal of Systems Science and Complexity - Impact Factor

About: Journal of Systems Science and Complexity is dedicated to publishing high-quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. The journal encourages fundamental research into complex systems and complexity, fostering cross-disciplinary approaches to elucidate common mathematical methods arising in natural, artificial, and social systems.
Impact and Importance
The Journal of Systems Science and Complexity plays a critical role in:
Advancing Research: Publishing innovative research that enhances understanding of complex systems and their applications.
Cross-disciplinary Collaboration: Facilitating collaborations across different scientific disciplines.
Practical Applications: Applying theoretical advances to real-world problems in various domains.
Types of Articles Accepted
The journal welcomes various types of contributions:
Research Papers: Original research presenting new theories, methodologies, or applications.
Review Articles: Comprehensive reviews that synthesize existing knowledge and propose future directions.
Methodological Papers: Advances in mathematical methods and computational techniques.
Applications Papers: Demonstrations and evaluations of systems science methods in practical applications.
Short Communications: Brief reports on significant findings or developments.

Scope: Journal of Systems Science and Complexity is dedicated to publishing high-quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. The journal covers a broad range of topics including:
Complex Systems: Fundamental research and methodologies in complex systems.
Systems Control: Theoretical and applied aspects of systems control.
Operations Research for Complex Systems: Techniques and methodologies for analyzing complex systems in operations research.
Economic and Financial Systems Analysis: Analytical methods for economic and financial systems.
Statistics and Data Science: Applications of statistical methods and data science in systems analysis.
Computer Mathematics: Mathematical foundations and computational approaches in systems science.
Systems Security: Research on security aspects of systems, including coding theory and crypto-systems.
Other Related Topics: Additional topics relevant to systems science and complexity.